Data Science + Data Analytics

Data Science + Data Analytics Program

Data & Analytics Fundamentals

  • Understanding Data Science vs Data Analytics
  • Types of data and real-world data sources
  • Analytics lifecycle and business problem framing
  • Industry use cases across domains

Python for Data Analysis

  • Python essentials for data work
  • Working with NumPy and Pandas
  • Data loading, cleaning, and transformation
  • Handling missing and inconsistent data
  • Writing efficient analysis scripts

Exploratory Data Analysis (EDA)

  • Statistical analysis fundamentals
  • Data summarization techniques
  • Identifying patterns, trends, and anomalies
  • Visualization using Matplotlib & Seaborn
  • Insight storytelling for business users

SQL for Data Analytics

  • Database concepts and data modeling
  • Writing complex SQL queries
  • Joins, subqueries, window functions
  • Query optimization basics
  • Analytics-driven SQL design

Statistics for Data Science

  • Descriptive and inferential statistics
  • Probability concepts
  • Hypothesis testing
  • Correlation and regression basics
  • Business interpretation of statistical results

Machine Learning Foundations

  • Introduction to Machine Learning concepts
  • Supervised vs unsupervised learning
  • Feature selection and data preparation
  • Model training and evaluation
  • Overfitting and model tuning basics

Data Visualization & Reporting

  • Advanced visualizations for insights
  • Dashboard concepts
  • KPI and metrics design
  • Business reporting best practices
  • Presenting insights to stakeholders

Real-World Case Studies

  • Sales and marketing analytics
  • Customer churn analysis
  • Financial and operational analytics
  • Predictive analysis use cases
  • Decision-making with data

Mini Projects

  • End-to-end Data Analytics project
  • Data Science predictive model project
  • Dataset selection and problem definition
  • Project documentation for resume
  • Practical project review

Career & Industry Readiness

  • Roles: Data Analyst, Data Scientist, Business Analyst
  • Resume and LinkedIn optimization
  • Interview questions and mock scenarios
  • Industry best practices
  • Career mentoring and job guidance